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Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm ; Olof Enqvist (Institutionen för signaler och system, Bildanalys och datorseende) ; Fredrik Kahl (Institutionen för signaler och system, Bildanalys och datorseende) ; Magnus Oskarsson
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16-19 April 2015 (1945-7928). p. 824-828. (2015)
[Konferensbidrag, refereegranskat]

We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.

Nyckelord: Registration; features; robust estimation



Denna post skapades 2015-02-25. Senast ändrad 2016-09-09.
CPL Pubid: 213101

 

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